Fig. 5: A cooccurrence network for the multi-omics (the proportion of each genus-level microbe, the proportion of each NMR signal, and experimental factors) dataset based on the Apriori algorithm. | ISME Communications

Fig. 5: A cooccurrence network for the multi-omics (the proportion of each genus-level microbe, the proportion of each NMR signal, and experimental factors) dataset based on the Apriori algorithm.

From: Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere

Fig. 5: A cooccurrence network for the multi-omics (the proportion of each genus-level microbe, the proportion of each NMR signal, and experimental factors) dataset based on the Apriori algorithm.The alternative text for this image may have been generated using AI.

For the visualization, only the links with “polymer material” nodes with lift values greater than the median of all lift values were extracted. Edge colors show the links with different polymer materials, (Red: PHBH_10%, Pink: PHBH_6%, Yellow: PCL, Green: PBSA). The PBS and PBAT nodes were not extracted because of the small number of the data. The nodes with no label were non-annotated NMR signal. The annotated NMR signals are degraded polymer structures (3HB and 3HH for PHBH, PCL and 6HH for PCL) and low molecular metabolites (Ala: alanine, Glc: glucose, CHOP: Phosphocholine, and adipate). The other labeled nodes are microbial genera.

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